4 days ago
Noida, IndiaEntry Level / Mid Level
Responsibilities
- Develop and maintain Python and PySpark data pipelines for extracting, transforming, and loading data into cloud-based data warehouses.
- Write and optimize SQL queries for data analysis and business intelligence applications.
- Help design and implement scalable data architecture solutions using Databricks for big data processing.
- Monitor and troubleshoot data pipeline performance, data quality, and reliability across cloud environments.
- Build automated ETL processes integrating APIs, databases, and file systems.
- Create and maintain dimensional models and data marts for analytical reporting.
- Participate in code reviews and follow practices for version control, testing, and documentation.
- Support cloud infrastructure management, resource optimization, and cost monitoring for data workloads.
Requirements
- 1–4 years of experience in data engineering or a related area.
- BE/B.Tech, MBA, MCA, Bachelor of Engineering, or Master of Engineering qualification.
- Mandatory skills in SQL, Python, PySpark, Databricks, and cloud technologies.
- Knowledge of data pipelines, ETL, data modeling, cloud data warehouses, and big data processing.
- Generative AI is listed as a required skill.
- Optional qualifications include big data, data integration, data analysis, data mining, dashboard creation, algorithm development, and related analytical and communication skills.
Benefits
- Inclusive benefits, wellbeing support, flexibility programs, and mentorship are offered.
- PwC promotes an inclusive workplace with equal employment opportunities and a zero-tolerance policy for discrimination and harassment.
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.